Michael Feyder

1.4k total citations
17 papers, 950 citations indexed

About

Michael Feyder is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Michael Feyder has authored 17 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Michael Feyder's work include Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (8 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Michael Feyder is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Memory and Neural Mechanisms (8 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Michael Feyder collaborates with scholars based in United States, United Kingdom and Germany. Michael Feyder's co-authors include Andrew Holmes, Timothy J. Bussey, Lisa M. Saksida, Jonathan L. Brigman, Carolyn Graybeal, Rolf Sprengel, Lisa M. Wiedholz, Masayoshi Mishina, Emily Schulman and Marguerite Camp and has published in prestigious journals such as Journal of Clinical Investigation, Neuron and Nature Neuroscience.

In The Last Decade

Michael Feyder

17 papers receiving 944 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Feyder United States 16 591 338 321 181 140 17 950
Giovanni Colacicco Switzerland 14 479 0.8× 213 0.6× 429 1.3× 203 1.1× 199 1.4× 24 1.0k
Georgette M. Gafford United States 16 566 1.0× 312 0.9× 474 1.5× 223 1.2× 144 1.0× 17 909
Corentin Le Magueresse France 15 615 1.0× 482 1.4× 272 0.8× 94 0.5× 106 0.8× 22 1.1k
Tambudzai Kanhema Norway 8 753 1.3× 394 1.2× 234 0.7× 188 1.0× 51 0.4× 10 1.1k
Carolyn Graybeal United States 13 504 0.9× 203 0.6× 401 1.2× 315 1.7× 190 1.4× 17 989
Seth A. Balogh United States 16 471 0.8× 452 1.3× 291 0.9× 183 1.0× 115 0.8× 19 984
Mariano Soiza‐Reilly Argentina 16 623 1.1× 308 0.9× 255 0.8× 130 0.7× 172 1.2× 30 910
Melissa S. Monsey United States 11 383 0.6× 300 0.9× 295 0.9× 141 0.8× 100 0.7× 11 731
Renee F. Ren‐Patterson United States 14 463 0.8× 317 0.9× 274 0.9× 124 0.7× 136 1.0× 16 978
Akane Sano Japan 17 524 0.9× 245 0.7× 224 0.7× 148 0.8× 197 1.4× 37 1.0k

Countries citing papers authored by Michael Feyder

Since Specialization
Citations

This map shows the geographic impact of Michael Feyder's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Feyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Feyder more than expected).

Fields of papers citing papers by Michael Feyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Feyder. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Feyder. The network helps show where Michael Feyder may publish in the future.

Co-authorship network of co-authors of Michael Feyder

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Feyder. A scholar is included among the top collaborators of Michael Feyder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Feyder. Michael Feyder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Ganesan, Sai J., Michael Feyder, Ilan E. Chemmama, et al.. (2020). Integrative structure and function of the yeast exocyst complex. Protein Science. 29(6). 1486–1501. 23 indexed citations
2.
Feyder, Michael, Natássia M. Vieira, Angela Lek, et al.. (2018). A limb-girdle muscular dystrophy 2I model of muscular dystrophy identifies corrective drug compounds for dystroglycanopathies. JCI Insight. 3(18). 19 indexed citations
3.
Feyder, Michael, et al.. (2018). Alcohol Activates Scabrous-Notch to Influence Associated Memories. Neuron. 100(5). 1209–1223.e4. 30 indexed citations
4.
Alexander, Matthew S., Molly Gasperini, Peter T. Tsai, et al.. (2016). Reversal of neurobehavioral social deficits in dystrophic mice using inhibitors of phosphodiesterases PDE5A and PDE9A. Translational Psychiatry. 6(9). e901–e901. 15 indexed citations
5.
Feyder, Michael & Loyal A. Goff. (2016). Investigating long noncoding RNAs using animal models. Journal of Clinical Investigation. 126(8). 2783–2791. 23 indexed citations
6.
Fitzgerald, Paul J., Courtney R. Pinard, Marguerite Camp, et al.. (2014). Durable fear memories require PSD-95. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
7.
Fitzgerald, Paul J., Courtney R. Pinard, Marguerite Camp, et al.. (2014). Durable fear memories require PSD-95. Molecular Psychiatry. 20(7). 901–912. 65 indexed citations
8.
Lederle, Lauren, Susanna Weber, Tara Wright, et al.. (2011). Reward-Related Behavioral Paradigms for Addiction Research in the Mouse: Performance of Common Inbred Strains. PLoS ONE. 6(1). e15536–e15536. 43 indexed citations
9.
Barkus, Chris, Michael Feyder, Carolyn Graybeal, et al.. (2011). Do GluA1 knockout mice exhibit behavioral abnormalities relevant to the negative or cognitive symptoms of schizophrenia and schizoaffective disorder?. Neuropharmacology. 62(3). 1263–1272. 68 indexed citations
10.
Camp, Marguerite, Michael Feyder, Jessica Ihne, et al.. (2011). A novel role for PSD-95 in mediating ethanol intoxication, drinking and place preference. Addiction Biology. 16(3). 428–439. 42 indexed citations
11.
Graybeal, Carolyn, Michael Feyder, Emily Schulman, et al.. (2011). Paradoxical reversal learning enhancement by stress or prefrontal cortical damage: rescue with BDNF. Nature Neuroscience. 14(12). 1507–1509. 142 indexed citations
12.
Fitzgerald, Paul J., Chris Barkus, Michael Feyder, et al.. (2010). Does gene deletion of AMPA GluA1 phenocopy features of schizoaffective disorder?. Neurobiology of Disease. 40(3). 608–621. 67 indexed citations
13.
Camp, Marguerite, Maxine Norcross, Nigel Whittle, et al.. (2009). Impaired Pavlovian fear extinction is a common phenotype across genetic lineages of the 129 inbred mouse strain. Genes Brain & Behavior. 8(8). 744–752. 63 indexed citations
14.
Mathur, Poonam, Carolyn Graybeal, Michael Feyder, Margaret I. Davis, & Andrew Holmes. (2008). Fear memory impairing effects of systemic treatment with the NMDA NR2B subunit antagonist, Ro 25-6981, in mice: Attenuation with ageing. Pharmacology Biochemistry and Behavior. 91(3). 453–460. 26 indexed citations
15.
Brigman, Jonathan L., Michael Feyder, Lisa M. Saksida, et al.. (2008). Impaired discrimination learning in mice lacking the NMDA receptor NR2A subunit. Learning & Memory. 15(2). 50–54. 131 indexed citations
16.
Wiedholz, Lisa M., William A. Owens, Rebecca E. Horton, et al.. (2007). Mice lacking the AMPA GluR1 receptor exhibit striatal hyperdopaminergia and ‘schizophrenia-related’ behaviors. Molecular Psychiatry. 13(6). 631–640. 155 indexed citations
17.
Feyder, Michael. (2007). Impaired associative fear learning in mice with complete loss or haploinsufficiency of AMPA GluR1 receptors. Frontiers in Behavioral Neuroscience. 1. 37 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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